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You searched for: subject:"MFCC"
[texts]Dynamic Spectrum Derived Mfcc and Hfcc Parameters and Human Robot Speech Interaction
Using the Mel-frequency cepstral coefficients (MFCC), Human Factor cepstral coefficients (HFCC) and their new parameters derived from log dynamic spectrum and dynamic log spectrum, these features are widely used for speech recognition in various applications. But, speechrecognition systems based on these features do not perform efficiently in the noisy conditions, mobile environment and for speech variation between users of different genders and ages...
Keywords: MFCC; HFCC; HMM; HOAP-2
Downloads: 109
[texts]Effect of Time Derivatives of MFCC Features on HMM Based Speech Recognition System
In this paper, improvement of an ASR system forHindi language, based on Vector quantized MFCC as featurevectors and HMM as classifier, is discussed. MFCC featuresare usually pre-processed before being used for recognition.One of these pre-processing is to create delta and delta-deltacoefficients and append them to MFCC to create feature vector.This paper focuses on all digits in Hindi (Zero to Nine), whichis based on isolated word structure...
Keywords: Automatic Speech Recognition (ASR); Mel Frequency Cepstral Coefficient (MFCC); Delta MFCC (DMFCC); Delta Delta MFCC (DDMFCC); Hidden Markov Model (HMM); Recognition Rate (RR)
Downloads: 61
[texts]Text Independent Biometric Speaker Recognition System - Luqman Gbadamosi
Designing a machine that mimics the human behavior, particularly with the capability of responding properly to spoken language, has intrigued engineers and scientists for centuries. The earlier research work on voice recognition system which is text-dependent requires that the user must say exactly the same text or pass-phrase for both enrollment and verification before gaining access. In this method the testing speech is polluted by additive noise at different noise decibel levels to achieve on...
Keywords: MFCC; Voice Print; VQLBG; Voice Recognition; ijorcs; ijorcs.org
Downloads: 41
[texts]18. Comparative Analysis.full
The man-machine relation has demanded the smart trends that machines have to react after considering the human emotion levels. The technology boost improved the machine intelligence to identify human emotions at expected level. Harnessing the approaches of speech processing and pattern recognition algorithms a smart and emotions oriented man-machine interaction can be achieved with the tremendous scope in the field of automated home as well as commercial applications...
Keywords: Features; Emotion; MFCC; Wavelet; Pitch; K-NN; GMM; HMM; Database
Downloads: 14
[texts]Marathi Isolated Word Recognition System using MFCC and DTW Features
This paper presents a Marathi database and isolated Word recognition system based on Mel-frequency cepstral coefficient (MFCC), and Distance Time Warping (DTW) as features. For the extraction of the feature, Marathi speech database has been designed by using the Computerized Speech Lab. The database consists of the Marathi vowels, isolated words starting with each vowels and simple Marathi sentences...
Keywords: CSL; MFCC; DTW; Spectrogram; Speech Recognition and statistical method
Downloads: 338
[texts]Infrastruture Cloud
Improving Utilization of Infrastructure CloudA key advantage of Infrastructure-as-a-Service (IaaS) cloud is providing users on-demand access to resources. However, to provide on-demand access, cloud providers must either significantly overprovision their infrastructure (or pay a high price for operating resources with low utilization) or reject a large proportion of user requests (in which case the access is no longer on-demand)...
Keywords: MFCC algorithm; Search Engine; Ranking algorithm; Information Retrieval
Downloads: 422
[texts]K Means Clustering Algorithm
Enhanced Performance of Search Engine with Multitype Feature Co-Selection of K-Means Clustering AlgorithmInformation world meet many confronts nowadays and one such, is data retrieval from a multidimensional and heterogeneous data set. Han & et al carried out a trail for the mentioned challenge. A novel feature co-selection for web document clustering is proposed by them, which is called Multitype Features Co-selection for Clustering (MFCC)...
Keywords: MFCC algorithm; Search Engine; Ranking algorithm; Information Retrieval
Downloads: 126
[texts]34. Comp Sci Speech Recognition Sandeep Kaur
This paper describes an algorithm that takes advantage of the distance measures for finding similarity between the histogram profiles of the feature matrix made of audio signals (Hindi Phenomes). The results obtained with Swaranjali for tests conducted on a vocabulary of Hindi digits of different speaker. Many researchers have used the root mean square (rms), log spectral distance, cepstral distance, likelihood ratio (minimum residual principle or delta coding (DELCO) algorithm), and a cosh meas...
Keywords: MFCC; K-Means Algorithm; Framing; Windowing; Hamming Window; Fast Fourier Transform; Mel-Scaled Filter Bank; Bhattacharyya Coefficient; ROC Curve
Downloads: 3
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